Michail Salampasis

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In this paper, a new source selection algorithm for uncooperative distributed information retrieval environments is presented. The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections(More)
In this paper we present a method to enrich the classical web searching with entity mining that is performed at query time. The results of entity mining (entities grouped in categories) can complement the query answers with useful for the user information which can be further exploited in a faceted search-like interaction scheme. We show that the(More)
One of the biggest issues the World Wide Web (WWW) community has to overcome is accessibility for all. The rapid expansion of the WWW using problematic web authoring practices, together with the dominance of the desktop metaphor in web page design has raised many WWW accessibility problems for people with disabilities. In this paper we present a what may be(More)
The WWW is today the biggest source of information and an essential tool for many activities of daily life. Unfortunately, information seeking in this complex hypermedia environment is generally not an easy task. The potentially complex task of information seeking in the WWW is further complicated when the end-user is blind or visually impaired (VI).(More)
Searching for patents is usually a recall-oriented problem and depending on the patent search type, quite often a problem which is characterized by uncertainty and evolution or change of the information need. We propose an exploratory strategy for patent search that exploits the metadata already available in patents in addition to the results of clustering(More)